Kits of AI agent skills, rules and prompts

Torchcast Decision 4B

torchcast-ai · Kit

A 4B decision model built on Qwen3.5-4B that returns yes/no probabilities, choice distributions and score distributions in one pass without generating text. Fo…

System One Model

stephenlb · Kit

Answers yes/no, multiple-choice and score questions about a text with a probability for each answer, using a Gemma 4 12B base with a small decision head. For d…

harrier-oss-v1-27b

microsoft · Kit

Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…

Granite-4.0-H-350M

ibm-granite · Kit

Handles summaries, classification, extraction, question answering, RAG, code tasks and tool calling in 12 languages with a 340M-parameter instruct model from I…

T5 Base

google-t5 · Kit

A 220 million parameter text-to-text model that handles translation between English, French, Romanian and German, and also summarization, question answering an…

BERT multilingual base model (cased)

google-bert · Kit

Fills in masked words and extracts text features in 104 languages. A case-sensitive BERT base model meant to be fine-tuned for classification, tagging and ques…

THX-01

doofz · Kit

Answers typed questions about a ticket, email or document in one fast pass, with calibrated probabilities, extracted numbers, excerpts and citations. A 322M mu…

ModernBERT-large

answerdotai · Kit

Predicts a hidden word in English text or code, and after fine-tuning serves as a larger long-context encoder for search, classification and retrieval. Made fo…

ModernBERT-base

answerdotai · Kit

Predicts a hidden word in English text or code, and after fine-tuning serves as a long-context encoder for search, classification and retrieval. Made for devel…

Julia 1

SupersonicLabs · Kit

Takes a text, a question and a list of possible answers, and picks the best one for classification, routing, ordered scores and yes-or-no calls. A 144M model f…

Copernicus (31B)

Poindexter-Labs · Kit

Returns structured decisions from plain-language context: pick one option, judge a yes or no claim, or score an item against a rubric. For developers building…

V-JEPA 2

facebook · Kit

Turns videos and images into embeddings for video classification, retrieval, or as the video encoder of a vision-language model. Built by FAIR at Meta for deve…

DistilBERT base uncased

distilbert · Kit

A small, fast English language model distilled from BERT base, with 67M parameters. Fills in masked words and is mainly meant to be fine-tuned for classificati…

bge-small-zh-v1.5

BAAI · Kit

Turns Chinese text into dense vectors for search, classification, clustering and semantic matching. A 24M-parameter BGE embedding model from BAAI under the MIT…

UltraBERT-380M

dmis-lab · Kit

Predicts masked words in English text and gives you a pre-trained encoder with a 32K context to fine-tune for classification or retrieval. A fill-mask model fr…

BERT base model (uncased)

google-bert · Kit

Fills in masked words and extracts text features for English. The uncased BERT base model from Google, meant to be fine-tuned for classification, tagging and q…

nomic-embed-text-v1.5

nomic-ai · Kit

Turns English text into embedding vectors for search, clustering and classification, and the vectors can be cut to a smaller size. It suits developers building…

Uniformer_video_demo by Sense-X

Sense-X · Kit

A Gradio demo that runs the Sense-X UniFormer video model on a clip and reports its class, with three example videos included. Suits students and developers wh…

Uniformer_image_demo by Sense-X

Sense-X · Kit

A Gradio demo that runs the Sense-X UniFormer image model on a picture and reports its class, with a few example photos included. Suits students and developers…

TFClassificationForest

keras-io · Kit

Shows a forest-based classifier built in TensorFlow inside a Gradio page, from an example by Khalid Salama and adapted by Tannia Dubon. For students and develo…